Data Science. TileDB. Open Source. Quant Research. R. C++. Debian. Linux. Adjunct Clinical Professor, University of Illinois. Lots of coffee. And some running.
Chicago, IL, USA
Joined March 2007
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Please see the README below. Current #Rstats is used on @Ubuntu by thousands via `apt` from CRAN itself thanks to @marutterstat (and similar builds exist at CRAN for @Debian, @RedHat and @openSUSE).
Come to the r-sig-debian list if you have questions.
cloud.r-project.org/bin/linu…
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You get artifacts (for "some time") from RHub and from win-builder, but you need to manually fetch and present them somewhere.
Which a drat repo can do -- see my `drat` package and docs.
Or you can use r-universe which does the build and drat-alike hosting for you off github.
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"You can find a perfect correlation if you just control for the residual."
The truth may well be unknowable but hey maybe your code runs ... so teaching / reasoning about statistical programming may be easier than actual modeling 😇
#rstats
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Yes and we all laughed about it already in 2018. No real need to reheat this now.
hbr.org/2018/10/prioritize-w…
Well of course. We all use them. But the *how* and *which* are ours choices, which may differ.
You may have seen that I started this series of tweets with one on vignettes (and a blog post), followed by one on testing.
R^4 #034: Less Is More
Short musings on the magic of Mies, and on dependencies.
dirk.eddelbuettel.com/blog/2…
#rstats
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I use both measures (cf prior tweets). Today was a first with what I am now see as the "weight" of a package: its Suggests (which one may use along with it) and their hard dependencies. (Plot from my suggestion in github.com/DominikRafacz/dee… )
All work in progress, feeback is good.
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So much yes!
See eddelbuettel.github.io/r-ci for what I use and what is indeed successfully minimal.
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"Dependencies are an invitation for other people to break your package." -- @joshua_ulrich
Which of these two setups to query @PostgreSQL from #RStats looks more likely to take that invitation?
(Disclaimer: I was the Google Summer of Code mentor helping create RPostgreSQL.)
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RcppSMC 0.2.6 on CRAN: Compiler Update
Sequential Monte Carlo / Particle Filters for R
dirk.eddelbuettel.com/blog/2…
#rcpp #rstats
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"It depends." You can start with alightweight S3 class that inherits from data.frame, but has a print method also recognising your metadata.
This is a actually a pretty neat use case to develop. Document what you do step by step. You'll have a tutorial in no time. #rstats
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Congrats to @julia_edd for whom I just cooked up a storm to celebrate a little --- and hopefully we all can celebrate some more in May with the rest of the @Cornell Class of 2022.
Congratulations to #Cornell2022 December graduates. All of us at the Cornell Jeb E. Brooks School of Public Policy @Cornell are so proud of the work you have done and excited to celebrate your accomplishments! @CornellBPP
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RcppArmadillo 0.10.7.5.0 on CRAN: Some Bug Fixes
R bindings to powerful and expressive C++ matrix library
dirk.eddelbuettel.com/blog/2…
#rcpp #rstats
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RProtoBuf 0.4.18 on CRAN: Multiple Updates
An R interface to Google Protocol Buffers data serialization
dirk.eddelbuettel.com/blog/2…
#rstats #rcpp
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BH 1.78.0-0 on CRAN: New Upstream, Two New Libraries
Boost C++ header goodness for R
dirk.eddelbuettel.com/blog/2…
#rstats #rcpp
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No, and yes. John expressed this as "turning users into programmers". So both natural and normal.
And 40 years after "Interface", he wrote an entire book about it. In it, Principle III states "Interfaces to other software a part of R" #rstats
routledge.com/Extending-R/Ch…
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The reference mentioned in my previous is e.g. on this slide from my useR! 2020 tutorial:
#rstats
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Well, by design, and called "Interface" a full fourty-five years ago (when using only Fortran).
See Chambers (2020) and his books for more (and e.g. references in my presentations) with the famous Bell Labs drawing of the "Interface". #rstats
dl.acm.org/doi/10.1145/33863…
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